186 computer-programmer-"IMPRS-ML"-"IMPRS-ML" positions at University of London in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
expert where required. Confidently lead the presentation of the learning solution architecture including the design rationale, impact and narrative. Is a core member of Client programme teams, and owns
-
to the set-up and conduct of a funded research project aiming to co-create a national weight management programme in Thailand. The duties of the post will involve coordinating and writing ethical approval
-
to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
-
to global health, gender violence and violence in childhood, and medical humanitarianism. We offer a vibrant and diverse research degree programme, with over 100 PhD and DrPH students from more than 40
-
, including degree and executive education programme invoicing, credit collection, and student loan management. You will report to the Associate Director, Finance Shared Services, and support the wider Finance
-
the education and research strategy of the Institute. The successful candidates will support the delivery of the existing Critical Care Medicine PGT programme offered through WHRI, as well as developing and
-
postgraduate programmes in veterinary medicine, veterinary nursing and biological sciences and CPD programmes in veterinary medicine and veterinary nursing. We are seeking a dynamic Examination Administrator
-
this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
-
programmes, from commercial handover through to post-programme review—delivering to time, budget, scope, and quality. Establish and maintain clear project governance, timelines, and resource planning, ensuring
-
, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills